Scenario

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## irace scenario:
scenarioFile = "./scenario.txt"
execDir = "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace"
parameterFile = "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/parameters.txt"
forbiddenExps = list(<bytecode>, <bytecode>, <bytecode>, <bytecode>, <bytecode>,     <bytecode>, <bytecode>, <bytecode>, <bytecode>, <bytecode>) = expression(NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL)
forbiddenFile = "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/forbidden.txt"
initConfigurations = NULL
configurationsFile = ""
logFile = "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/irace.Rdata"
recoveryFile = NULL
instances = c("D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/ex_irace-run.R", "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/forbidden v1.txt", "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/forbidden.txt", "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/irace", "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/irace-run.R", "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/irace.bat", "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/parallel-irace", "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/parallel-irace-mpi", "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/parallel-irace-qsub", "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/parameters exp1.txt", "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/parameters.txt", "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/scenario exp1.txt", "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/scenario exp2.txt", "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/scenario v1.txt", "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/scenario.txt", "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/target-runner", "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/target-runner.bat")
trainInstancesDir = "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace"
trainInstancesFile = ""
sampleInstances = TRUE
testInstancesDir = ""
testInstancesFile = ""
testInstances = NULL
testNbElites = 1
testIterationElites = FALSE
testType = "friedman"
firstTest = 2
eachTest = 1
targetRunner = "D:/Users/SuperUser/OneDrive/mestrado/pesquisa/irace/cifar10-irace - exp3/irace/target-runner.bat"
targetRunnerLauncher = NULL
targetRunnerLauncherArgs = NULL
targetRunnerRetries = 2
targetRunnerData = ""
targetRunnerParallel = NULL
targetEvaluator = NULL
deterministic = FALSE
maxExperiments = 1000
maxTime = 0
budgetEstimation = 0.02
minMeasurableTime = NULL
parallel = 2
loadBalancing = TRUE
mpi = FALSE
batchmode = "0"
digits = 2
quiet = NULL
debugLevel = 0
seed = 123456
softRestart = TRUE
softRestartThreshold = 0.01
elitist = TRUE
elitistNewInstances = 1
elitistLimit = 2
repairConfiguration = NULL
capping = FALSE
cappingType = "median"
boundType = "candidate"
boundMax = NULL
boundDigits = 0
boundPar = 1
boundAsTimeout = TRUE
postselection = 0
aclib = FALSE
nbIterations = 0
nbExperimentsPerIteration = 0
minNbSurvival = 0
nbConfigurations = 0
mu = 5
confidence = 0.95
## end of irace scenario

Parameters

n_total n_fixed n_int n_real n_cat n_ord n_conditional n_dependent
38 0 37 1 0 0 30 0

Parameters tree

 

Parameters file

Click to show
camadasConvolucionais "--nc="  i (1,8)          
maxpooling1           "--mp1=" i (0,1)          
maxpooling2           "--mp2=" i (0,1)           | camadasConvolucionais > 1
maxpooling3           "--mp3=" i (0,1)           | camadasConvolucionais > 2
maxpooling4           "--mp4=" i (0,1)           | camadasConvolucionais > 3
maxpooling5           "--mp5=" i (0,1)           | camadasConvolucionais > 4
maxpooling6           "--mp6=" i (0,1)           | camadasConvolucionais > 5
maxpooling7           "--mp7=" i (0,1)           | camadasConvolucionais > 6
maxpooling8           "--mp8=" i (0,1)           | camadasConvolucionais > 7
batchNormalization1   "--bn1=" i (0,1)          
batchNormalization2   "--bn2=" i (0,1)           | camadasConvolucionais > 1
batchNormalization3   "--bn3=" i (0,1)           | camadasConvolucionais > 2
batchNormalization4   "--bn4=" i (0,1)           | camadasConvolucionais > 3
batchNormalization5   "--bn5=" i (0,1)           | camadasConvolucionais > 4
batchNormalization6   "--bn6=" i (0,1)           | camadasConvolucionais > 5
batchNormalization7   "--bn7=" i (0,1)           | camadasConvolucionais > 6
batchNormalization8   "--bn8=" i (0,1)           | camadasConvolucionais > 7
numFiltrosInd2        "--nf2=" i (5,8)           | camadasConvolucionais > 1
numFiltrosInd3        "--nf3=" i (5,8)           | camadasConvolucionais > 2
numFiltrosInd4        "--nf4=" i (5,8)           | camadasConvolucionais > 3
numFiltrosInd5        "--nf5=" i (5,8)           | camadasConvolucionais > 4
numFiltrosInd6        "--nf6=" i (5,8)           | camadasConvolucionais > 5
numFiltrosInd7        "--nf7=" i (5,8)           | camadasConvolucionais > 6
numFiltrosInd8        "--nf8=" i (5,8)           | camadasConvolucionais > 7
tamanhoFiltros2       "--tf2=" i (3,11)          | camadasConvolucionais > 1
tamanhoFiltros3       "--tf3=" i (3,11)          | camadasConvolucionais > 2
tamanhoFiltros4       "--tf4=" i (3,11)          | camadasConvolucionais > 3
tamanhoFiltros5       "--tf5=" i (3,11)          | camadasConvolucionais > 4
tamanhoFiltros6       "--tf6=" i (3,11)          | camadasConvolucionais > 5
tamanhoFiltros7       "--tf7=" i (3,11)          | camadasConvolucionais > 6
tamanhoFiltros8       "--tf8=" i (3,11)          | camadasConvolucionais > 7
camadasDensas         "--nd="  i (1,3)          
neuroniosDensos1      "--nd1=" i (4,128)         | camadasDensas > 1
neuroniosDensos2      "--nd2=" i (4,128)         | camadasDensas > 2
dropout               "--dr="  r (0,0.5)        
learningIndex         "--li="  i (0,5)          
batchIndex            "--bti=" i (4,10)         
numEpocas             "--ne="  i (10,300)       

General information

  • irace version: 3.3.2238:2239
  • Iterations: 20
  • Configurations: 396
  • Instances: 21
  • Experiments: 977
  • Elite configurations: 7
  • Soft restarts: 0
  • Rejected configurations: 0
  • Running time (seconds): Unknown
  • Termination reason: Missing

By iteration

By instance

Elite configurations

The final best configurations found by irace are:

Parallel coordinates visualization (only elites)

Sampling model

The frequency of the parameter values sampled by irace:

#> Warning: Groups with fewer than two data points have been dropped.
#> Warning in max(ids, na.rm = TRUE): nenhum argumento não faltante para max; retornando -Inf
#> Warning: Groups with fewer than two data points have been dropped.
#> Warning in max(ids, na.rm = TRUE): nenhum argumento não faltante para max; retornando -Inf
#> Warning: Groups with fewer than two data points have been dropped.
#> Warning in max(ids, na.rm = TRUE): nenhum argumento não faltante para max; retornando -Inf
#> Warning: Groups with fewer than two data points have been dropped.
#> Warning in max(ids, na.rm = TRUE): nenhum argumento não faltante para max; retornando -Inf
#> Warning: Groups with fewer than two data points have been dropped.
#> Warning in max(ids, na.rm = TRUE): nenhum argumento não faltante para max; retornando -Inf
#> Warning: Groups with fewer than two data points have been dropped.
#> Warning in max(ids, na.rm = TRUE): nenhum argumento não faltante para max; retornando -Inf
#> Warning: Groups with fewer than two data points have been dropped.
#> Warning in max(ids, na.rm = TRUE): nenhum argumento não faltante para max; retornando -Inf
#> Warning: Groups with fewer than two data points have been dropped.
#> Warning in max(ids, na.rm = TRUE): nenhum argumento não faltante para max; retornando -Inf

Testing performance

  • Number of elites tested: 1
  • Iteration elites tested: FALSE

Performance of the elite configurations on the test instances

#> No test instances given.

Final elite configurations on the test instances

#> No test instances given.

Iteration elite configurations on the test instances

#> Iteration elites were not tested.

Training performance

Performance of the final elite configurations on the training instances

Final elite configurations on the training instances

Races overview

Disabled because sections$experiments_matrix is FALSE.

Convergence plot

This is a simplified version of the visualization you can obtain with acviz.

#> Warning: Removed 803 rows containing missing values (`geom_point()`).
#> Warning: Removed 977 rows containing missing values (`geom_point()`).
#> Removed 977 rows containing missing values (`geom_point()`).


Report generated by iraceplot version 1.3.